code: def mobilenetv3_large_minimal_100(pretrained=False, **kwargs):
      """MobileNet V3 Large (Minimalistic) 1.0"""
      # NOTE for train set drop_rate=0.2
      model = _gen_mobilenet_v3(
          "mobilenetv3_large_minimal_100",
          1.0,
          pretrained=pretrained,
          **kwargs,
      )
      return model
  
imports: import torch.nn
  import torch.nn.functional
  from .activations import get_act_fn, get_act_layer, HardSwish
  from .config import layer_config_kwargs
  from .conv2d_layers import select_conv2d
  from .helpers import load_pretrained
  from .efficientnet_builder import *
label_desc: Use image node_id 7 for calling a global function with example usage: mobilenetv3_large_minimal_100(pretrained) and returns: model